Using a Theoretical Framework to Investigate Whether the HIV/AIDS Information Needs of the AfroAIDSinfo Web Portal Members Are Met: A South African eHealth Study
1.2. Theoretical Framework
1.3. The Present Study
2. Material and Methods
2.1. Design and Sampling
2.2. Data Collection and Analysis
3.1. Health-Seeking Behavior
3.1.1. Demographic Profile
|Gender||35% (n = 29)||Males|
|65% (n = 54)||Females|
|Consumer group||29% (n = 24)||Health Profession and Education consumer groups had the highest respondent rates; Public and Science: 18% (n = 15) each; Policy:6% (n = 5)|
|Age||53.1% (n = 44)||Highest response rates were among ages 35-54 years; Age group 55 and above: 26.5% (n = 22); Age group 15-34 years: 20.5% (n = 17)|
|Qualifications||53% (n = 44)||Highest response rates were among post-graduates; Degree/diploma/certificate: 37.3% (n = 31); Senior school: 8.4% (n = 7); Junior school: 1.2% (n = 1)|
|Country||74% (n = 62)||South Africa; In total, 82% (n = 68) were from 5 African countries and 18% (n = 15) from the USA and European countries|
|Length of membership||37% (n = 31)||Highest response rate was among those with 1–3 years membership; 4–6 years: 31.3% (n = 26); <1 year: 19.3% (n = 16); 7–9 years: 12% (n = 10)|
|Profession related to consumer group||87% (n = 72)||Confirmed that they registered in a consumer group related to their professions|
3.1.2. Relevance of Information Influencing Health-Seeking Behavior
3.2. Meeting Information Needs
3.2.1. Reliability of Information
3.2.2. Usefulness of Articles and eNewsletters
|Consumer groups||Monthly articles||Monthly eNewsletter|
|Health Profession||100% (n = 24)||96% (n = 23)|
|Public||93% (n = 14)||100% (n = 15)|
|Science||93% (n = 14)||93% (n = 14)|
|Policy||80% (n = 4)||100% (n = 5)|
|Education||79% (n = 19)||100% (23)|
3.2.3. Information Meeting User Preferences
3.3. Information Needs Met in 2013 Compared to 2010
|% Yes responses||Health Profession (n = 22)||Public (n = 34)||Policy (n = 6)||Education (n = 49)||Science (n = 20)||Average 2010|
|Meet all 6 criteria||54.5||73.5||33.3||53.1||50.0||57.3|
|% Yes responses||Health profession (n = 24)||Public (n = 15)||Policy (n = 5)||Education (n = 24)||Science (n = 15)||Average 2013|
|Meet all 6 criteria||73.3||54.2||80.0||62.5||53.3||61.4|
|Meet All 6 Criteria||Odds Ratio||p-Value||95% Confidence Interval|
4.1. Analyzing Health Consumers’ Preferences, Information Needs and Use
4.2. Developing Approaches to Integrate Consumer Preferences in Information Systems
4.3. Research Influence of CHI Outcomes on Public Health
Conflicts of Interest
- UNAIDS Report on the Global AIDS Epidemic 2013. Available online: http://www.unaids.org/en/media/unaids/contentassets/documents/epidemiology/2013/gr2013/UNAIDS_Global_Report_2013_en.pdf (accessed on 28 December 2013).
- Mayosi, B.M.; Lawn, J.E.; van Niekerk, A.; Bradshaw, D.; Abdool Karim, S.S.; Coovadia, H.M. Health in South Africa: Changes and challenges since 2009. Lancet 2012, 380, 2029–2043. [Google Scholar] [CrossRef]
- Kizito, B.J.; Suhonen, J. Survey on ICT for HIV/AIDS preventive education: Are the teenagers forgotten in developing countries? J. Emerg. Trends Comput. Inf. Sci. 2011, 2, 263–275. [Google Scholar]
- Van Zyl, H.; Visser, P.; van Wyk, E.; Laubscher, R. Comparing eLearning and classroom instruction on HIV/AIDS knowledge uptake and internalizing among South African and Irish pupils. Health Educ. J. 2013. [Google Scholar] [CrossRef]
- Ruxwana, N.L.; Herselman, M.E.; Conradie, D.P. ICT applications as e-health solutions in rural healthcare in the Eastern Cape Province of South Africa. Health Inf. Manag. 2010, 39, 17–29. [Google Scholar]
- What Is e-Health? Available online: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1761894/ (accessed on 5 January 2014).
- Selman, L.; Higginson, I.J.; Agupio, G.; Dinat, N.; Gwyther, L.; Mashao, T.; Mmoledi, K.; Moll, A.P.; Sebuyira, L.M.; Panajatovic, B.; et al. Meeting information needs of patients with incurable progressive disease and their families in South Africa and Uganda: Multicenter qualitative study. Br. Med. J. 2009, 338, 1127–1131. [Google Scholar] [CrossRef]
- Mbananga, N.; Mniki, S.; Oelofse, A.; Makapan, S.; Lubisi, M. A model of developing medical terms in indigenous languages: A step towards consumer health informatics in South Africa. Stud. Health Technol. Inform. 2004, 107, 1216–1218. [Google Scholar]
- Eysenbach, G. Recent advances: Consumer health informatics. Br. Med. J. 2000, 320, 1713–1716. [Google Scholar] [CrossRef]
- Van Zyl, H.; Dartnall, L. A 3-step eHealth approach to transfer knowledge on HIV and sexual violence in developing countries. Stud. Health Technol. Inform. 2010, 160, 471–475. [Google Scholar]
- The HON Code of Conduct for Medical and Health Web Sites (HONcode). Available online: http://www.hon.ch/HONcode/Patients/Conduct.html (accessed on 30 December 2013).
- AfroAIDSinfo. Available online: http://www.afroaidsinfo.org/ (accessed on 30 December 2013).
- Straus, S.E.; Tetroe, J.M.; Graham, I.D. Knowledge translation is the use of knowledge in health care decision making. J. Clin. Epidemiol. 2011, 64, 6–10. [Google Scholar] [CrossRef]
- Bruce, N.; Pope, D.; Stanistreet, D. Quantitative Methods for Health Research: A Practical Interactive Guide to Epidemiology and Statistics; Wiley: West Sussex, UK, 2008; p. 129. [Google Scholar]
- Thematic Content Analysis (TCA), Descriptive Presentation of Qualitative Data. Available online: http://www.wellknowingconsulting.org/publications/pdfs/ThematicContentAnalysis.pdf (accessed on 19 September 2013).
- Higgins, O.; Sixsmith, J.; Barry, M.M.; Demegan, C. A Literature Review on Health Information-Seeking Behavior on the Web: A Health Consumer and Health Professional Perspective; European Centre for Disease Prevention and Control: Stockholm, Sweden, 2011. [Google Scholar]
- Powell, J.; Inglis, N.; Ronnie, J.; Large, S. The characteristics and motivations of online health information seekers: Cross-sectional survey and qualitative interview study. J. Med. Internet Res. 2011, 13. [Google Scholar] [CrossRef]
- Woolf, S.H. The meaning of translational research and why it matters. JAMA 2008, 299, 211–213. [Google Scholar]
- Weaver, J.B.; Mays, D.; Weaver, S.S.; Hopkins, G.L.; Eroglu, D.; Bernard, J.M. Health information seeking behaviors, health indicators and health risks. Am. J. Public Health 2010, 100, 1520–1525. [Google Scholar] [CrossRef]
- Revere, D.; Turner, A.M.; Madhavan, A.; Rambo, N.; Bugni, P.F.; Kimball, A.; Fuller, S.S. Understanding the information needs of public health practitioners: A literature review to inform design of an interactive digital knowledge management system. J. Biomed. Inform. 2007, 40, 410–421. [Google Scholar] [CrossRef]
- Alpay, L.; Verhoef, J.; Xie, B.; Te’eni, D.; Zwetsloot-Schonk, J.H.M. Current challenge in consumer health informatics: Bridging the gap between access to information and information understanding. Biomed. Inform. Insights 2009, 2, 1–10. [Google Scholar]
- Public Health. Available online: http://www.who.int/trade/glossary/story076/en/ (accessed on 27 December 2013).
- eHealth Strategy South Africa 2012–2016. Available online: http://www.doh.gov.za/docs/stratdocs/2012/eHealth_Strategy_South_Africa_2012–2016.pdf (accessed on 20 January 2014).
- McGray, A.T. Promoting health literacy. JAMIA 2005, 12, 152–163. [Google Scholar]
- Anderson, A.R.; Mowatt, R.A. Heterosexism in campus recreational club sports: An exploratory investigation into attitudes toward gay men and lesbians. RSJ 2013, 37, 106–122. [Google Scholar]
- Internet-based Survey Research: Small- and Large-scale Research for Business Decisions. Available online: http://home.etf.rs/~vm/cd1/papers/2.pdf (accessed on 14 February 2014).
- Eysenbach, G. Using the Internet for Surveys and Research. In Evaluating the Organizational Impact of Health Care Information Systems, 2nd ed.; Anderson, J.G., Aydin, C.E., Eds.; Springer: New York, NY, USA, 2005; Chapter 5; pp. 129–143. [Google Scholar]
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Van Zyl, H.; Kotze, M.; Laubscher, R. Using a Theoretical Framework to Investigate Whether the HIV/AIDS Information Needs of the AfroAIDSinfo Web Portal Members Are Met: A South African eHealth Study. Int. J. Environ. Res. Public Health 2014, 11, 3570-3585. https://doi.org/10.3390/ijerph110403570
Van Zyl H, Kotze M, Laubscher R. Using a Theoretical Framework to Investigate Whether the HIV/AIDS Information Needs of the AfroAIDSinfo Web Portal Members Are Met: A South African eHealth Study. International Journal of Environmental Research and Public Health. 2014; 11(4):3570-3585. https://doi.org/10.3390/ijerph110403570Chicago/Turabian Style
Van Zyl, Hendra, Marike Kotze, and Ria Laubscher. 2014. "Using a Theoretical Framework to Investigate Whether the HIV/AIDS Information Needs of the AfroAIDSinfo Web Portal Members Are Met: A South African eHealth Study" International Journal of Environmental Research and Public Health 11, no. 4: 3570-3585. https://doi.org/10.3390/ijerph110403570